June 6, 2024, 4:49 a.m. | Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip Torr, Ashkan Khakzar

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.03303v1 Announce Type: new
Abstract: Visual prompting infuses visual information into the input image to adapt models toward specific predictions and tasks. Recently, manually crafted markers such as red circles are shown to guide the model to attend to a target region on the image. However, these markers only work on models trained with data containing those markers. Moreover, finding these prompts requires guesswork or prior knowledge of the domain on which the model is trained. This work circumvents manual …

abstract adapt arxiv attention cs.cv guide however image information input predictions prompting prompts tasks transformers type vision vision transformers visual visual prompting work

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